Table 3 Logistic regression with LASSO regularization algorithm.
Predictor | Coefficient | Elasticity |
|---|---|---|
0.filtcertecocapv | −0.4205039 | −0.6567158 |
1. Food, beverages, and tobacco | 0.4491343 | 1.56695509 |
11. Bogotá | −0.0181282 | −0.9820351 |
13. Bolívar | −0.0393538 | −0.9614105 |
15. Boyacá | −0.0604993 | −0.9412944 |
19. Cauca | 0.0604259 | 1.06228888 |
2. Coking, manufacture of petroleum refining products and nuclear fuel | 0.0723728 | 1.07505605 |
20. Cesar | 0.0733447 | 1.07610141 |
25. Cundinamarca | 0.0421088 | 1.04300795 |
3. Manufacture of rubber and plastic products. | −0.1663736 | −0.8467298 |
4. Manufacture of chemical products and substances. | 0.2031624 | 1.22527144 |
41. Huila | 0.028787 | 1.02920535 |
47. Magdalena | −0.020114 | −0.9800869 |
50. Meta | 0.0686674 | 1.07107991 |
52. Nariño | −0.0073785 | −0.9926487 |
6. Manufacture of non-metallic mineral products | 0.0935644 | 1.09808132 |
66. Risaralda | 0.0204832 | 1.02069442 |
68. Santander | −0.0197699 | −0.9804242 |
7. Metallurgy and manufacture of metal products. | −0.0249021 | −0.9754054 |
70. Sucre | 0.0185345 | 1.01870733 |
73. Tolima | −0.0294656 | −0.9709643 |
76. Valle del Cauca | 0.1978713 | 1.21880552 |
8. Textile, apparel, footwear and leather products. | −0.0392153 | −0.9615437 |
8. Atlántico | 0.0340927 | 1.03468052 |
85. Casanare | 0.0807537 | 1.08410385 |
9. Other industrial divisions | −0.0640447 | −0.9379631 |
99. Vichada | −0.0099147 | −0.9901343 |
c1acygga | 0.1058259 | 1.11162833 |
c1acygge | 0.0329876 | 1.03353772 |
c1acyggg | 0.8522824 | 2.34499296 |
c1inygrmye | 0.0165909 | 1.01672929 |
c1iygtotr1 | 0.4206342 | 1.52292709 |
c1iygtotr3r2 | −0.1787424 | −0.8363213 |
c3rh2vtc | 0.8445018 | 2.3268183 |
Ppolizamb | 0.1588814 | 1.17219892 |
Valagri | 0.2556796 | 1.29133892 |
0. filtcertecocapv | −0.4205039 | −0.6567158 |
